Dear all,

I would like to fit a multilevel linear model, with varying slope but  
with intercepts fixed at zero (in my experiment, all the samples have  
the same value at time=0).

I have both nested and non-nested factors, but in a first step, we  
would like to fit a lmer model "fm2" equivalent to this lme model  
"fm1" :

library(nlme)
fm1<-lme(log(y)~x, random=~-1+x|group, na.action="na.omit", data=...)

I tried this code for the lmer function :
library(lme4)
fm2<-lmer(log(y)~-1+x+(-1+y|group), na.action="na.omit", data=...)

1. Instead of providing similar results to fm1, fm2 results do not  
make sense. Is there a mistake in the structure of the fm2 code ?

2. I also have an other question :

 > coef(fm1) works, but
 > coef(fm2) shows this error message : "unable to align random and  
fixed effects"

What does it mean ?

If someone could help me, thanks a lot in advance..

Antoine Tardif

--
      Antoine TARDIF
   Département de Biologie
   Université de Sherbrooke
   Sherbrooke (Qc)
   J1K 2R1 Canada

   Bureau D5-0204
   (+ 1) 819 821 8000 poste 61928
   antoine.tardif@usherbrooke.ca


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